class_docstr: The type of the wrapped model returned from [`DdpAccelerator.wrap_model`](#wrap_model).
code: def load_state_dict(
      self, state_dict: StateDictType, strict: bool = True
  ) -> LoadStateDictReturnType:
      return self.model.load_state_dict(state_dict, strict=strict)
  
imports: import os
  from typing import Union, Tuple, OrderedDict, Dict, NamedTuple, List, Optional, Any, Sequence, TYPE_CHECKING
  import torch
  import torch.distributed
  from torch.cuda import amp
  from torch.nn.utils import clip_grad_norm_
  from allennlp.common import Registrable
  from allennlp.common.util import int_to_device
  from allennlp.nn.parallel.sharded_module_mixin import ShardedModuleMixin
label_desc: Use image node_id 4 for calling the DdpWrappedModel obj's underlying member method code with example usage: obj.load_state_dict(state_dict, strict) and returns: self